This role involves leading the strategy, design, and modernization of an enterprise data landscape. The position focuses on integrating data lakes and warehouses across multi-cloud platforms while enabling self-service data access and natural language query capabilities. Responsibilities include architecting master data management and data lineage frameworks to ensure high-quality data for AI models. The role also entails evaluating and implementing AI-powered tools to automate data quality monitoring and enhance security. Additionally, the individual will develop long-term data architecture roadmaps and mentor engineering and architecture teams.

Candidates must possess at least 12 years of experience in IT, including 7 years specifically in data architecture, data engineering, or enterprise architecture. A bachelor’s degree in a relevant technical field is required, with an advanced degree preferred. Applicants must demonstrate hands-on experience with master data models and data lineage tools, alongside a proven ability to architect solutions across multiple cloud platforms. Proficiency in SQL and Python is necessary, as is experience with modern data platforms and implementing AI-powered tools for data quality.